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View Code? Open in Web Editor NEWPyTorch reimplementation of per-channel energy normalization for audio.
License: MIT License
PyTorch reimplementation of per-channel energy normalization for audio.
License: MIT License
Thanks you for sharing your code.
When I'm reading your code, I've noticed that pcen_cuda_kernel
is missing.
Is that part not implemented yet or omitted?
Thanks for sharing PCEN implementation using Pytorch. Currently I'm trying to use TensorFlow to add trainable PCEN layer before KWS model, but the result is not so good. Would it be a problem that all training data is 1 second and then fed to the net? And I'm not sure about the initialization of parameters are correct. I just use the initialization defined in the paper. But I'm not clear how to first use log values then take exponentials.
Could you please give me some guide?
Thanks so much!
thanks for sharing this.
I am trying to train PCEN in a torch layer. However, at unpredictable points during training, the loss collapses to nan
when this is introduced. I'm thinking that this must be due to certain parameter configuration, but I cannot trace the bug.
Thanks
File "/home/ubuntu/pytorch-pcen/pcen/pcen.py", line 92
print(f"{(b - a) / n * 1000:.2} ms per second of audio.")
^
SyntaxError: invalid syntax
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